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QA Data Automation Engineer

This role is for a QA Data Automation Engineer on a contract basis, hybrid in Chicago, IL. Key skills include Azure services, Selenium, JUnit, and Azure DevOps. Experience in test automation and data validation is required.
🌎 - Country
United States
💱 - Currency
$ USD
💰 - Day rate
Unknown
Unknown
🗓️ - Date discovered
February 22, 2025
🕒 - Project duration
Unknown
🏝️ - Location type
Hybrid
📄 - Contract type
Unknown
🔒 - Security clearance
Unknown
📍 - Location detailed
Chicago, IL
🧠 - Skills detailed
#Quality Assurance #Azure Blob Storage #Azure Data Factory #Azure DevOps #Azure #Scripting #Data Automation #SQL (Structured Query Language) #Data Pipeline #Java #Azure Databricks #Big Data #DevOps #Automation #ADF (Azure Data Factory) #Python #Storage #Cloud #JUnit #Databricks #Data Engineering #Debugging
Role description
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Job Title: QA Data Automation Engineer

Location: Hybrid in Chicago, IL (Local Candidates Only)

Duration: Contract

Job Description:

We are seeking a QA Data Automation Engineer with strong expertise in Azure services to join our team. The ideal candidate will have hands-on experience in test automation, data validation, and cloud-based QA processes. This role requires collaboration with developers, data engineers, and DevOps teams to ensure the reliability and performance of data pipelines.

Key Responsibilities:
• Design, develop, and execute automated test scripts for data validation.
• Validate and test Azure Data Factory (ADF), Azure Databricks, and Azure Blob Storage pipelines.
• Implement test automation using Selenium and JUnit.
• Work with Azure DevOps for CI/CD pipeline integration.
• Conduct performance testing, debugging, and troubleshooting of data workflows.
• Ensure best practices in test automation, quality assurance, and cloud-based testing.

Must-Have Skills:

✔ Azure Services Proficiency – ADF, Databricks, Blob Storage

✔ Selenium – Automation testing for UI and APIs

✔ JUnit – Test framework for Java-based automation

✔ Azure DevOps – CI/CD pipeline integration

Preferred Skills:
• Experience with scripting languages such as Python or PowerShell.
• Knowledge of SQL for database validation.
• Understanding of Big Data technologies.